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Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-4

  • This period covers praise given between 2022-05-06 and 2022-06-05.
  • We allocated a total of 8600.0 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 3 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
38.33 Griff (💜,💜)#8888 @griff (💜, 💜) for articulating solutions for the snapshot voting bug and quickly pulling Vitor in to help!
30.0 VitorNunes#0090 for identifying the problems with the snapshot vote and for being promptly available
27.0 Marcel Toucan#7777 @Marcel Toucan x1000 for discovering a significant bug in one of the voting tools we're using so that it can be quickly fixed and votes audited.
24.33 liviade#1387 and for honoring our invitation under short notice and sharing their wealth of knowledge to help improve Praise and make it a great tool for our communities
22.67 Life is for living#9260 @Life is for living for sharing his knowledge and expertise on Twitter to help us improve our Twitter engagement, it was a great learning session! 🙏🏽
21.67 Tamarandom#9361 for her incredible work coordinating the commons prize!
21.0 Juankbell#7458 @John Ellison @richardblythman Algovera.ai - the five finalists for the Commons Prize - for making the time to join today's AMA as well as putting so much work into learning more about Commons Stack design patterns for a Commons and the preparation for your nominations. It will be an honor to work with any of you, anytime.
21.0 Griff (💜,💜)#8888 @griff (💜, 💜) for being the inimitable master of ceremonies for the Commons Prize AMA and asking questions to help the Trusted Seed make this very difficult decision. All 5 finalists are extraordinary and it would be a privilege to work with any of them.
21.0 John Ellison#5093 @John Ellison @richardblythman Algovera.ai - the five finalists for the Commons Prize - for making the time to join today's AMA as well as putting so much work into learning more about Commons Stack design patterns for a Commons and the preparation for your nominations. It will be an honor to work with any of you, anytime.
20.33 kristofer#1475 for organizing and leading a call with polygon today to present Praise, our dear product :)

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

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Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 215 praises, 41 (19.07%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 215 praises, 0 (0.00%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.